What Did we Learn and What to Expect in Assignment 8

Summary

Students are now expected to be able to:

• Use NumPy to create ndarrays with np.array() and from functions such as np.arange(), np.linspace() and np.ones().
• Describe the shape, dimension and size of an array.
• Identify null values in a dataframe and manage them by removing them using .dropna() or replacing them using .fillna().
• Manipulate non-standard date/time formats into standard Pandas datetime using pd.to_datetime().
• Find, and replace text from a dataframe using verbs such as .replace().

The assignment will concentrate on the learning objectives as well as building knowledge on existing concepts.

Attribution

The cereal dataset:

“80 Cereals” (c) by Chris Crawford is licensed under Creative Commons Attribution-ShareAlike 3.0 Unported

On to Assignment 8!